Literature DB >> 25567132

High expression of EVI1 and MEL1 is a compelling poor prognostic marker of pediatric AML.

A Jo1, S Mitani1, N Shiba2, Y Hayashi3, Y Hara2, H Takahashi4, I Tsukimoto5, A Tawa6, K Horibe7, D Tomizawa8, T Taga9, S Adachi10, T Yoshida1, H Ichikawa11.   

Abstract

EVI1 and MEL1 are homolog genes whose transcriptional activations by chromosomal translocations are known in small subsets of leukemia. From gene expression profiling data of 130 Japanese pediatric acute myeloid leukemia (AML) patients, we found that EVI1 and MEL1 were overexpressed in ~30% of patients without obvious translocations of these gene loci, and that their high expression was significantly associated with inferior survival. High EVI1 expression was detected mainly in myelomonocytic-lineage (designated as e-M4/M5 subtype) leukemia with MLL rearrangements and in megakaryocytic-lineage (designated as e-M7 subtype) leukemia, and its prognostic association was observed in the e-M4/M5 subtype but not in the e-M7 subtype. On the other hand, high MEL1 expression was detected in myelocytic-lineage (designated as e-M0/M1/M2 subtype) and e-M4/M5 subtype leukemia without MLL rearrangements, and its prognostic association was independent from the subtypes. Because of their subtype-dependent and mutually exclusive expression, a combined evaluation of their high expression enabled a clear distinction of patients with inferior survival (P<0.00001 in event-free survival (EFS) and overall survival (OS)). This association was confirmed by quantitative reverse transcription PCR analysis of an independent cohort of 81 patients (P=0.00017 in EFS, P=0.00028 in OS). We propose that the combined estimation of EVI1 and MEL1 expression will be an effective method to predict the prognosis of pediatric AML.

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Year:  2015        PMID: 25567132     DOI: 10.1038/leu.2015.5

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  30 in total

1.  Prdm16 is a physiologic regulator of hematopoietic stem cells.

Authors:  Francesca Aguilo; Serine Avagyan; Amy Labar; Ana Sevilla; Dung-Fang Lee; Parameet Kumar; Ihor R Lemischka; Betty Y Zhou; Hans-Willem Snoeck
Journal:  Blood       Date:  2011-02-22       Impact factor: 22.113

2.  A novel gene, MEL1, mapped to 1p36.3 is highly homologous to the MDS1/EVI1 gene and is transcriptionally activated in t(1;3)(p36;q21)-positive leukemia cells.

Authors:  N Mochizuki; S Shimizu; T Nagasawa; H Tanaka; M Taniwaki; J Yokota; K Morishita
Journal:  Blood       Date:  2000-11-01       Impact factor: 22.113

3.  Presence of FLT3-ITD and high BAALC expression are independent prognostic markers in childhood acute myeloid leukemia.

Authors:  Anna Staffas; Meena Kanduri; Randi Hovland; Richard Rosenquist; Hans Beier Ommen; Jonas Abrahamsson; Erik Forestier; Kirsi Jahnukainen; Ólafur G Jónsson; Bernward Zeller; Josefine Palle; Gudmar Lönnerholm; Henrik Hasle; Lars Palmqvist; Hans Ehrencrona
Journal:  Blood       Date:  2011-10-03       Impact factor: 22.113

Review 4.  Molecular genetics of adult acute myeloid leukemia: prognostic and therapeutic implications.

Authors:  Guido Marcucci; Torsten Haferlach; Hartmut Döhner
Journal:  J Clin Oncol       Date:  2011-01-10       Impact factor: 44.544

5.  High EVI1 expression predicts outcome in younger adult patients with acute myeloid leukemia and is associated with distinct cytogenetic abnormalities.

Authors:  Stefan Gröschel; Sanne Lugthart; Richard F Schlenk; Peter J M Valk; Karina Eiwen; Chantal Goudswaard; Wim J L van Putten; Sabine Kayser; Leo F Verdonck; Michael Lübbert; Gert-Jan Ossenkoppele; Ulrich Germing; Ingo Schmidt-Wolf; Brigitte Schlegelberger; Jürgen Krauter; Arnold Ganser; Hartmut Döhner; Bob Löwenberg; Konstanze Döhner; Ruud Delwel
Journal:  J Clin Oncol       Date:  2010-03-22       Impact factor: 44.544

6.  Evaluation of candidate control genes for diagnosis and residual disease detection in leukemic patients using 'real-time' quantitative reverse-transcriptase polymerase chain reaction (RQ-PCR) - a Europe against cancer program.

Authors:  E Beillard; N Pallisgaard; V H J van der Velden; W Bi; R Dee; E van der Schoot; E Delabesse; E Macintyre; E Gottardi; G Saglio; F Watzinger; T Lion; J J M van Dongen; P Hokland; J Gabert
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

7.  Multiplex RT-PCR for the detection of leukemia-associated translocations: validation and application to routine molecular diagnostic practice.

Authors:  Manuel Salto-Tellez; Suresh G Shelat; Bernice Benoit; Hanna Rennert; Martin Carroll; Debra G B Leonard; Peter Nowell; Adam Bagg
Journal:  J Mol Diagn       Date:  2003-11       Impact factor: 5.568

8.  ERG expression is an independent prognostic factor and allows refined risk stratification in cytogenetically normal acute myeloid leukemia: a comprehensive analysis of ERG, MN1, and BAALC transcript levels using oligonucleotide microarrays.

Authors:  Klaus H Metzeler; Annika Dufour; Tobias Benthaus; Manuela Hummel; Maria-Cristina Sauerland; Achim Heinecke; Wolfgang E Berdel; Thomas Büchner; Bernhard Wörmann; Ulrich Mansmann; Jan Braess; Karsten Spiekermann; Wolfgang Hiddemann; Christian Buske; Stefan K Bohlander
Journal:  J Clin Oncol       Date:  2009-09-14       Impact factor: 44.544

9.  Gene expression profiling of pediatric acute myelogenous leukemia.

Authors:  Mary E Ross; Rami Mahfouz; Mihaela Onciu; Hsi-Che Liu; Xiaodong Zhou; Guangchun Song; Sheila A Shurtleff; Stanley Pounds; Cheng Cheng; Jing Ma; Raul C Ribeiro; Jeffrey E Rubnitz; Kevin Girtman; W Kent Williams; Susana C Raimondi; Der-Cherng Liang; Lee-Yung Shih; Ching-Hon Pui; James R Downing
Journal:  Blood       Date:  2004-06-29       Impact factor: 22.113

10.  Multiplex reverse transcription-polymerase chain reaction for simultaneous screening of 29 translocations and chromosomal aberrations in acute leukemia.

Authors:  N Pallisgaard; P Hokland; D C Riishøj; B Pedersen; P Jørgensen
Journal:  Blood       Date:  1998-07-15       Impact factor: 22.113

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  17 in total

1.  The subtype-specific features of EVI1 and PRDM16 in acute myeloid leukemia.

Authors:  Hidemasa Matsuo; Susumu Goyama; Yasuhiko Kamikubo; Souichi Adachi
Journal:  Haematologica       Date:  2015-03       Impact factor: 9.941

2.  LIN28B is over-expressed in specific subtypes of pediatric leukemia and regulates lncRNA H19.

Authors:  Hetty H Helsmoortel; Barbara De Moerloose; Tim Pieters; Farzaneh Ghazavi; Silvia Bresolin; Hélène Cavé; Andrica de Vries; Valerie de Haas; Christian Flotho; Veerle Labarque; Charlotte Niemeyer; Pascale De Paepe; Nadine Van Roy; Jan Stary; Marry M van den Heuvel-Eibrink; Yves Benoit; Johannes Schulte; Steven Goossens; Geert Berx; Jody J Haigh; Frank Speleman; Pieter Van Vlierberghe; Tim Lammens
Journal:  Haematologica       Date:  2016-03-11       Impact factor: 9.941

3.  Transcriptome analysis offers a comprehensive illustration of the genetic background of pediatric acute myeloid leukemia.

Authors:  Norio Shiba; Kenichi Yoshida; Yusuke Hara; Genki Yamato; Yuichi Shiraishi; Hidemasa Matsuo; Yusuke Okuno; Kenichi Chiba; Hiroko Tanaka; Taeko Kaburagi; Masanobu Takeuchi; Kentaro Ohki; Masashi Sanada; Jun Okubo; Daisuke Tomizawa; Tomohiko Taki; Akira Shimada; Manabu Sotomatsu; Keizo Horibe; Takashi Taga; Souichi Adachi; Akio Tawa; Satoru Miyano; Seishi Ogawa; Yasuhide Hayashi
Journal:  Blood Adv       Date:  2019-10-22

4.  PRDM16 isoforms differentially regulate normal and leukemic hematopoiesis and inflammatory gene signature.

Authors:  David J Corrigan; Larry L Luchsinger; Mariana Justino de Almeida; Linda J Williams; Alexandros Strikoudis; Hans-Willem Snoeck
Journal:  J Clin Invest       Date:  2018-07-23       Impact factor: 14.808

Review 5.  Acute myeloid leukemia with translocation (1;21).

Authors:  Ameer Hamza; Uqba Khan; Sidrah Khawar; Daniel Snower
Journal:  Mol Biol Rep       Date:  2018-03-22       Impact factor: 2.316

6.  PRDM16s transforms megakaryocyte-erythroid progenitors into myeloid leukemia-initiating cells.

Authors:  Tianyuan Hu; Kiyomi Morita; Matthew C Hill; Yajian Jiang; Ayumi Kitano; Yusuke Saito; Feng Wang; Xizeng Mao; Kevin A Hoegenauer; Kazuhiro Morishita; James F Martin; P Andrew Futreal; Koichi Takahashi; Daisuke Nakada
Journal:  Blood       Date:  2019-07-03       Impact factor: 22.113

7.  Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach.

Authors:  Barbara Depreter; Barbara De Moerloose; Karl Vandepoele; Anne Uyttebroeck; An Van Damme; Eva Terras; Barbara Denys; Laurence Dedeken; Marie-Françoise Dresse; Jutte Van der Werff Ten Bosch; Mattias Hofmans; Jan Philippé; Tim Lammens
Journal:  Pediatr Res       Date:  2020-10-17       Impact factor: 3.756

8.  Gene mutational pattern and expression level in 560 acute myeloid leukemia patients and their clinical relevance.

Authors:  Yong-Mei Zhu; Pan-Pan Wang; Jin-Yan Huang; Yun-Shuo Chen; Bing Chen; Yu-Jun Dai; Han Yan; Yi Hu; Wen-Yan Cheng; Ting-Ting Ma; Sai-Juan Chen; Yang Shen
Journal:  J Transl Med       Date:  2017-08-22       Impact factor: 5.531

9.  Association of a cytarabine chemosensitivity related gene expression signature with survival in cytogenetically normal acute myeloid leukemia.

Authors:  Han Yan; Lu Wen; Dan Tan; Pan Xie; Feng-Mei Pang; Hong-Hao Zhou; Wei Zhang; Zhao-Qian Liu; Jie Tang; Xi Li; Xiao-Ping Chen
Journal:  Oncotarget       Date:  2017-01-03

10.  miR-101 reverses hypomethylation of the PRDM16 promoter to disrupt mitochondrial function in astrocytoma cells.

Authors:  Qianqian Lei; Xiaoping Liu; Haijuan Fu; Yingnan Sun; Liping Wang; Gang Xu; Wei Wang; Zhibin Yu; Changhong Liu; Peiyao Li; Jianbo Feng; Guiyuan Li; Minghua Wu
Journal:  Oncotarget       Date:  2016-01-26
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